{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Logistic回归作业 利用Logistic回归技术实现糖尿病发病预测"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 一、 数据说明： Pima Indians Diabetes Data Set（皮马印第安人糖尿病数据集） 根据现有的医疗信息预测5年内皮马印第安人糖尿病发作的概率。数据集共9个字段:\n",
    "pregnants：怀孕次数\n",
    "\n",
    "Plasma_glucose_concentration：口服葡萄糖耐量试验中2小时后的血浆葡萄糖浓度\n",
    "\n",
    "blood_pressure：舒张压，单位:mm Hg\n",
    "\n",
    "Triceps_skin_fold_thickness：三头肌皮褶厚度，单位：mm\n",
    "\n",
    "serum_insulin：餐后血清胰岛素，单位:mm\n",
    "\n",
    "BMI：体重指数（体重（公斤）/ 身高（米）^2）\n",
    "\n",
    "Diabetes_pedigree_function：糖尿病家系作用\n",
    "\n",
    "Age：年龄\n",
    "\n",
    "Target：标签， 0表示不发病，1表示发病\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pregnants</th>\n",
       "      <th>Plasma_glucose_concentration</th>\n",
       "      <th>blood_pressure</th>\n",
       "      <th>Triceps_skin_fold_thickness</th>\n",
       "      <th>serum_insulin</th>\n",
       "      <th>BMI</th>\n",
       "      <th>Diabetes_pedigree_function</th>\n",
       "      <th>Age</th>\n",
       "      <th>Target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6</td>\n",
       "      <td>148</td>\n",
       "      <td>72</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>33.6</td>\n",
       "      <td>0.627</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>85</td>\n",
       "      <td>66</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>26.6</td>\n",
       "      <td>0.351</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8</td>\n",
       "      <td>183</td>\n",
       "      <td>64</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>23.3</td>\n",
       "      <td>0.672</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>89</td>\n",
       "      <td>66</td>\n",
       "      <td>23</td>\n",
       "      <td>94</td>\n",
       "      <td>28.1</td>\n",
       "      <td>0.167</td>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>137</td>\n",
       "      <td>40</td>\n",
       "      <td>35</td>\n",
       "      <td>168</td>\n",
       "      <td>43.1</td>\n",
       "      <td>2.288</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   pregnants  Plasma_glucose_concentration  ...  Age  Target\n",
       "0          6                           148  ...   50       1\n",
       "1          1                            85  ...   31       0\n",
       "2          8                           183  ...   32       1\n",
       "3          1                            89  ...   21       0\n",
       "4          0                           137  ...   33       1\n",
       "\n",
       "[5 rows x 9 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#导入相关必要工具包\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "#读取数据\n",
    "train = pd.read_csv(\"pima-indians-diabetes.csv\")\n",
    "train.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train: (768, 9)\n"
     ]
    }
   ],
   "source": [
    "print(\"train:\",train.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 768 entries, 0 to 767\n",
      "Data columns (total 9 columns):\n",
      " #   Column                        Non-Null Count  Dtype  \n",
      "---  ------                        --------------  -----  \n",
      " 0   pregnants                     768 non-null    int64  \n",
      " 1   Plasma_glucose_concentration  768 non-null    int64  \n",
      " 2   blood_pressure                768 non-null    int64  \n",
      " 3   Triceps_skin_fold_thickness   768 non-null    int64  \n",
      " 4   serum_insulin                 768 non-null    int64  \n",
      " 5   BMI                           768 non-null    float64\n",
      " 6   Diabetes_pedigree_function    768 non-null    float64\n",
      " 7   Age                           768 non-null    int64  \n",
      " 8   Target                        768 non-null    int64  \n",
      "dtypes: float64(2), int64(7)\n",
      "memory usage: 54.1 KB\n"
     ]
    }
   ],
   "source": [
    "#查看数据基本信息\n",
    "train.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pregnants</th>\n",
       "      <th>Plasma_glucose_concentration</th>\n",
       "      <th>blood_pressure</th>\n",
       "      <th>Triceps_skin_fold_thickness</th>\n",
       "      <th>serum_insulin</th>\n",
       "      <th>BMI</th>\n",
       "      <th>Diabetes_pedigree_function</th>\n",
       "      <th>Age</th>\n",
       "      <th>Target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.845052</td>\n",
       "      <td>120.894531</td>\n",
       "      <td>69.105469</td>\n",
       "      <td>20.536458</td>\n",
       "      <td>79.799479</td>\n",
       "      <td>31.992578</td>\n",
       "      <td>0.471876</td>\n",
       "      <td>33.240885</td>\n",
       "      <td>0.348958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.369578</td>\n",
       "      <td>31.972618</td>\n",
       "      <td>19.355807</td>\n",
       "      <td>15.952218</td>\n",
       "      <td>115.244002</td>\n",
       "      <td>7.884160</td>\n",
       "      <td>0.331329</td>\n",
       "      <td>11.760232</td>\n",
       "      <td>0.476951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.078000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>27.300000</td>\n",
       "      <td>0.243750</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>117.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>30.500000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>0.372500</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.000000</td>\n",
       "      <td>140.250000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>127.250000</td>\n",
       "      <td>36.600000</td>\n",
       "      <td>0.626250</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>17.000000</td>\n",
       "      <td>199.000000</td>\n",
       "      <td>122.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>846.000000</td>\n",
       "      <td>67.100000</td>\n",
       "      <td>2.420000</td>\n",
       "      <td>81.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        pregnants  Plasma_glucose_concentration  ...         Age      Target\n",
       "count  768.000000                    768.000000  ...  768.000000  768.000000\n",
       "mean     3.845052                    120.894531  ...   33.240885    0.348958\n",
       "std      3.369578                     31.972618  ...   11.760232    0.476951\n",
       "min      0.000000                      0.000000  ...   21.000000    0.000000\n",
       "25%      1.000000                     99.000000  ...   24.000000    0.000000\n",
       "50%      3.000000                    117.000000  ...   29.000000    0.000000\n",
       "75%      6.000000                    140.250000  ...   41.000000    1.000000\n",
       "max     17.000000                    199.000000  ...   81.000000    1.000000\n",
       "\n",
       "[8 rows x 9 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#查看数据基本统计量\n",
    "train.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Plasma_glucose_concentration      5\n",
      "blood_pressure                   35\n",
      "Triceps_skin_fold_thickness     227\n",
      "serum_insulin                   374\n",
      "BMI                              11\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "NaN_col_names = ['Plasma_glucose_concentration','blood_pressure','Triceps_skin_fold_thickness','serum_insulin','BMI']\n",
    "print((train[NaN_col_names]==0).sum())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "'Triceps_skin_fold_thickness','serum_insulin'这两列缺少的数据比较多，需要一定的处理。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of occurrences')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#类别特征直方图\n",
    "sns.countplot(train['Target'])\n",
    "plt.xlabel('Diabetes')\n",
    "plt.ylabel('Number of occurrences')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of occurrences')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#怀孕次数特征直方图\n",
    "sns.countplot(train['pregnants'])\n",
    "plt.xlabel('Number of pregnants')\n",
    "plt.ylabel('Number of occurrences')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x147dd548>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#怀孕次数与Target的关系图,貌似怀孕次数越高，得糖尿病的比率也高\n",
    "sns.countplot(x='pregnants',hue='Target',data=train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of occurrences')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sns.distplot(train.Plasma_glucose_concentration,kde=True)\n",
    "plt.xlabel('Plasma_glucose_concentration')\n",
    "plt.ylabel('Number of occurrences')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='Target',y='Plasma_glucose_concentration',data=train,hue='Target')\n",
    "plt.xlabel('Diabetes',fontsize=12)\n",
    "plt.ylabel('Plasma_glucose_concentration',fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of occurrences')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#blood_pressure\n",
    "fig = plt.figure()\n",
    "sns.distplot(train.blood_pressure,kde = True)\n",
    "plt.xlabel('blood_pressure')\n",
    "plt.ylabel('Number of occurrences')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='Target',y='blood_pressure',data=train,hue='Target')\n",
    "plt.xlabel('Diabetes',fontsize=12)\n",
    "plt.ylabel('blood_pressure',fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of occurrences')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Triceps_skin_fold_thickness\n",
    "fig = plt.figure()\n",
    "sns.distplot(train.Triceps_skin_fold_thickness,kde = True)\n",
    "plt.xlabel('Triceps_skin_fold_thickness')\n",
    "plt.ylabel('Number of occurrences')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='Target',y='Triceps_skin_fold_thickness',data=train,hue='Target')\n",
    "plt.xlabel('Diabetes',fontsize=12)\n",
    "plt.ylabel('Triceps_skin_fold_thickness',fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of occurrences')"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#serum_insulin\n",
    "fig = plt.figure()\n",
    "sns.distplot(train.serum_insulin,kde = True)\n",
    "plt.xlabel('serum_insulin')\n",
    "plt.ylabel('Number of occurrences')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='Target',y='serum_insulin',data=train,hue='Target')\n",
    "plt.xlabel('Diabetes',fontsize=12)\n",
    "plt.ylabel('serum_insulin',fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of occurrences')"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#BMI 体重指数\n",
    "fig = plt.figure()\n",
    "sns.distplot(train.BMI,kde = True)\n",
    "plt.xlabel('BMI')\n",
    "plt.ylabel('Number of occurrences')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='Target',y='BMI',data=train,hue='Target')\n",
    "plt.xlabel('Diabetes',fontsize=12)\n",
    "plt.ylabel('BMI',fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x16349c88>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "BMIDF = train.groupby(['BMI','Target'])['BMI'].count().unstack('Target').fillna(0)\n",
    "BMIDF[[0,1]].plot(kind='bar',stacked=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of occurrences')"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Diabetes_pedigree_function 糖尿病家系作用\n",
    "fig = plt.figure()\n",
    "sns.distplot(train.Diabetes_pedigree_function,kde = True)\n",
    "plt.xlabel('Diabetes_pedigree_function')\n",
    "plt.ylabel('Number of occurrences')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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zbEw8qK6uprLKV7By3759UY4mvIJJCt8AJ9TdICInAVZOuxnqJoV4H/9sTEtVVFRU+3zPnj1RjCT8gkkKfwbeFpG7gWQR+SPwKnBHYweKyLMiskdEVh7h/e+JSImILPc/7gwirhatbr0jt9sdxUiMMUeyfft2AFITvOzYHt/l3YKpfTQXOBfIwdeX0BP4kaq+F8Dh04BzGtnnU1Ud5n/cE2hcLV3dRGBJwZjYVJMUju/gYvv2HXFdvDKougqqugz4VbAXUdVPRKRXsMe1BnUnwsT7pBhjWqpNmzaRniQc097FF3tc7Ny5k9zc3GiHFRbBDElNEZH7RGSTiJT4t50lIhNDFMspIrJCRN4RkaFHieN6EckXkfy9e/eG6NLRUzcRxPO3D2NasoKCDeRmuOiR6fa/jt+u1GD6FB4BjgGu4FDhu1XAL0MQxzKgp6oeDzwBzDnSjqo6WVVHqurInJycEFw6uuz2kTGxze12s2H9BnpnueiR6SHRAevWrYt2WGETTFK4GLhcVT8HvACquh3o3twgVPWgqpb5n8/Dt/Rnx+aetyWwldeMiW2bNm2i2uWiT5abJAfkZXpYtarBMTNxIZikUE29PggRyQGKGt49cCLSRfwzt/zDXB2hOG9LUHcYqg1JNSb2fPXVVwAMyPa15Pu3rWbtmrVxu6Z6MEnhVWC6iPQGEJGuwCTgpcYOFJFZwOfAQBEpFJFrROQGEbnBv8slwEoRWQE8DoxTm9VljIkBK1asICcdOqT6vrQNynZR7XKxdu3aKEcWHsGMProdeAD4GkgHNuCrg3R3Yweq6vhG3p+EL8G0OlbawpjY5fF4WL5sKcPbHqqMOjDbjQDLli3juOOOi15wYRJQS0FEHPhqHP1BVTOBzkCWqv5WVeOzDRUhdWsfWUE8Y2JLQUEBpeUVDGnnYsb6dGasTyczSenVxsPS/PxohxcWASUFVfUCb6iq0/96r93eCY26icDWazYmtuT7P/iHtnextSyRrWW+mytD21Wzes3quCyjHcyn0CcicnLYImmlbI1mY2JX/pIl9Mjy0jb58O/Ax7SrxuPxsnz58ihFFj7BfAptAd4RkTeAbRyaq4CqtppaRaFmpbONiU1VVVWsXPk1Z3R1fuu9fm3dJCfA0qVL+c53vhOF6MInmKSQxqFJZfE5vzsK6iYFu31kTOz4+uuvcbk9DGn/7fIzyQkwoK2LpflLohBZeAWcFFT15+EMxBhjYsny5ctJEBjYtuGaZEPaVfPKxq0UFxfTrl27CEcXPsHUPupzhEd3/+gk0wQ2ec2Y2LR8+Zf0buMm9QhfnQf5J7OtWLEiglGFXzAf5gX45iZsqPd8K+AUkdki0jn0IcY3q31kTOyprq5m/bp19D9CKwGgV5abpARYtWpVBCMLv2CSwnXATGAAkAoMxLc856+AY/Hdinoy1AHGO6fzUCdWvE6bN6alKSgowOX20K/Nkb+oJTqgd5abVSu/jmBk4RdMR/PdQD9VrZnaVyAivwTWq+rTInIVvpaDCULdcc7xOObZmJZowwbfR1nvrKO33ntluvh40yY8Hk/cTD4NpqXgAHrV25YH1Pwmyghy0R4D5eXlIAmHnhtjoq6goICMZKmtd3QkPbM8OJ3VtSuzxYNgPsQfBT4UkefwzVPIBX7u3w5wHr6idyYIpaWlkJYFlSUcPHgw2uEYY4CtW7fQLc1FY1OHuqX7yt1v27aNvLy8CEQWfsEMSX1ARL4CLgVGADuBa1R1vv/9ORxlcRzTsAMHDuBJSCUxyUlJSUm0wzHGAIXbtjE4rfGBH13qJIV4EewazfOB+WGKpVUq2l+MNzEV9Tg5cOBAtMMxptVzuVzsLz5Ax56NDxHPSFLSEoV4WBq4xlGTgoj8SVXv8z+/50j7WZmLpisuLkYzcnG7newrahXrChkT04qKilBV2qUENm+ofaq39SQFDi9n0SOcgbRG1dXVVJSXodnpqLuaon2WFIyJtpoWe9vkwJJCm0Q3xcX7wxlSRB01KajqL+s8tzIXIVZcXAyAJqWhbicHDuyIckTGmJq+vazkwFYHyEr2srO1JAUR6RPISVR1U2jCaV327/f9IXmT0sBdjdNZRUVFBenp6VGOzJjWq2YUYGZiYC2FjESltLQsnCFFVGO3jwrwlcgW6pTKbuB1fMzaiLCapKBJ6ajbWbvNkoIx0VNaWgpAelJgLYX0RKWsrBxVjYvy90edvKaqDlVNUFUHcC3wEjAIX5mLQcCLwDVhjzJO1SaFxFQ0Kf2wbcaY6Cgr833rz0gMLClkJnlxezxUVVU1vnMLEMyQ1L8C/VW10v96g4j8AlgPTAt1YK3BYX0KHudh24wx0VFSUkJqopAYYL2HDH+L4uDBg6SlpYUxsshobpmLntitoybbv38/kpQCjgQ0Ka12mzEmeoqLi2mbEvgS9DWjlOLlC10wLYVHOLzMRQ/gKv920wRFRUW1t400MRVEKLK5CsZE1b59+2ibGHgZ+5qksHfvXgYNGhSusCImmDIXD4rI1/jKXAzHV+bi6poyFyZ4e/fuw53ob26KA0lOZ9++fdENyphWbsf2bQwMoMRFjU5pvqSwY0d8DCm3MhdRtGv3brzJHWpfe5Iy2LNnTxQjMqZ1q6ioYF9RMd/rE/gqiJlJSmaysHXr1jBGFjnBLMeZIiL3icgmESnxbztLRCaGL7z45XQ6OVC8H03OrN3mSc6gMI5K8BrT0qxfvx6AnpnBrYKYl1HNunVrwxFSxAXT0fwIcAxwBYfmKKwCfnnEI/xE5FkR2SMiK4/wvojI4yJSICJficiIIOJqkWrqryeU7SFl6yIAvKlt2btnj63AZkyU1Cyt2fsoK641pG8bF5s3b46LhbKCSQoXA5er6ueAF0BVtwPdAzh2GnDOUd4/F+jvf1wPPBVEXC3S5s2bARB3FY4K/8zm1GxUNW6aoca0NIsXf0Felpc2AZa4qDG0nQuPx8uXX34ZpsgiJ5ikUE29PggRyQEaHS6jqp8ARxtreRHwvPosArJFpGsQsbU4BQUFIA7UcehX6k1vD8DGjRujFZYxrVZJSQkrV67kuPbOxneuZ0C2m9REWLhwYRgii6xgksKrwHQR6Q3g/9CehG+Wc3N1xzfMtUYhR2iBiMj1IpIvIvktuVzt2rVr0fT21F3ayZvaBklIYu3a+Lg3aUxL8tFHH+HxeBnVKfikkOiAEzo6+fij/+F0Bn98LAkmKdwOfAN8DWQDG4AdwN0hiKOhgiENtt9UdbKqjlTVkTk5OSG4dOR5PB7WrFmLK73j4W+IA3d6B1b672saYyJDVZn39lxyM73kZXqadI5Tuzgpr6jkk08+CXF0kRVwUlDValW9WVUzgc5Alqr+VlVD0StayOHrNeTiSzhxadOmTVRVVeLJ6vyt99yZndhYUBAXHVbGtBQrV65k3foNnNG9otF1mY9kSDsXXTKU1157FdXg+iRiSTAtBUSkv4j8CbgLuF1E+ocojjeBK/2jkE4GSlR1Z4jOHXNWrFgBgCfz20nBk9UFr9fL6tWrIx2WMa3WSy/NIiPJ922/qRwCZ3UvZ9269bX/j7dEwcxTuBz4EjgOKAeOBZb5tzd27Czgc2CgiBSKyDUicoOI3ODfZR6wCV+p7meAXwX3Y7QsX375JaS2QVMyv/WeJ7MziMTFKAZjWoL169ezcOFnnJ1bQUozK7l9t6uT7FSY9txzoQkuCoKZ0XwvMNY/kggAETkdeAFfCe0jUtXxjbyvwI1BxNJieTwevly+nOrMbg3vkJCENyOHpUuXct1110U2OGNaoalTniE9Cc7q0fzS18kJcH6PcmasWMGSJUs48cQTQxBhZAVz+ygL37f9uhYBGaELJ/5t2LCBivJyPG2OkBQAV1ZX1q1bV1vX3RgTHvn5+XyxeAkX9SwnPcD1ExozpnsVOWnKU/96Eo+naZ3W0RRMUngY+JuIpAKISBpwn3+7CVB+fj7AUZOCp003VNVuIRkTRm63m39NmkROunJGbugWyElywKV9yti0+RveeeedkJ03UoJJCr8CbgYOishuoAT4LfBLEdla8whHkPHki8WL0YwOtesnNMST2QlJSGLJkiURjMyY1uWNN95g0zffML5vGUlBDblp3KhO1QzMdjP56X/XrvncUgTTp/DTsEXRSpSWlrJq5UqqOx1z9B0dCVRndeWzzz/nt3Gy7qsxsaSoqIipU6ZwTHsXJ3QMfa0xEZjQv4w/5ycyZcoUbrnllpBfI1yCWU/h48b2EZG3gUb3a62++OILvF4v7nZ5je7rzs5j3zcLKCgooH//UI38NcYAPPnkk1Q7K5lwfFmT5yU0Ji/Lw1m5lbz11puce+65DB48ODwXCrEQN5o4PcTniyv/+9//kOR0vBmNz8T2ZPcAET766KPwB2ZMK5Kfn8+HH37I+XkVdE0PfN2EpvhR7wqyU+Chfz6I2x1c5dVoCXVSMEdw8OBBFn3xBc52vQnkq4kmpeHO6sb773+A1xveP1xjWgun08kjDz9E53Tl/J6VYb9eWiJc0a+Ugo2b+M9//hP264WCJYUIeffdd/G43bg69gv4GFfHfuzZs5ulS5eGMTJjWo9Zs2axfcdOfjaglORmTlQL1Ik51RzfwcXUKVNaxMqKlhQiwOv18p85c/Bm5uBN79D4AX7udr2QpNQW8w3DmFhWWFjIzJkzOLmzk2PauyJ2XRGYMKAMj9vJk08+GbHrNlWok4INk2nAwoUL2bF9O85OQ4M70JFAVc4gPvvsM7Zs2RKe4IxpJZ544nES1c3l/cojfu1OaV4uyKvg448/rp2rFKtCnRT+FuLztXiqyvTnn4fUNrjb9wr6eFenIUhCIjNmzAh9cMa0EosWLeKLLxbzw17lZKdEp4Lp2LxKOqUrk554PKY7nYMpiHeLiAzzPz/ZP1ltk4icUrOPqv49HEG2ZAsWLKBgwwYqux4PEnwO1qRUnDmDef+DD6y1YEwTuN1unpz0BF0ylDObOHN5xvp0tpQmsKU0gb8ta8OM9elBnyM5Acb3LeWbLVuZO3duk+KIhGA+pX4LbPY//zu+8hb3AY+GOqh44fF4eGbKFEhri7tD3yafp7rLsYgjkalTp4YwOmNah3feeYdthdv5SZ9SEpt4b2RrWSKVHgeVHgdrDySxtSyYeb+HjOjoYmC2m+nTnovZNVOC+RW1VdUSEckCjgeeUNWpwMDwhNbyvf/++2zdsoXKbiOa1EqooUmpVHU+hk8++YQ1a9aEMEJj4pvT6WTac8/SP9vNiI6R61w+EhEY17ec4gMlzJ49O9rhNCiYT6ptIvIdYBzwiap6RKQN0PLKAEZAdXU1U599Fm9GR9ztejX/fF2OQZLSmDz5meYHZ0wrMW/ePIr2F/Pj3uVhm7kcrL5t3QzrWM0rL78Uk62FYJLCrcBrwJ+Av/q3nQ8sDnVQ8WDu3Lns3bOHqu4nBDRZrVEJSVR2OY4vv1xm8xaMCYDb7ebFmTPon+1mcHZsdez+sFcFpWXlvPnmm9EO5VuCWaN5nqp2U9VeqlrzqfQqcGF4Qmu5nE4nL8yYgSery1FLZAfL1WkgpGTw7HPPteg1YI2JhE8//ZS9+4o4r0fT110Olz5tPAxu5+b12a/F3EikYNdoHiwifxaRSf5NfYGWUeUpgubPn0/x/v04uw0LTSuhhiORqs7HsmrlSpYvXx668xoTh2a/9hqd05VhMdCX0JCzcyvYs3cfCxcujHYohwlmSOqlwCdAd+BK/+ZMbJGdw3g8Hl6cNQtvZic8WV1Dfn5XzgAkOY1Zs2aF/NzGxIvNmzezctUqxnSrwBFjrYQawzq66JAGc+e+Fe1QDhNMS+Ee4ExVvYFDncsr8I1EMn4LFixg965dODsfE9pWQg1HIlU5g1m8eDGbN29ufH9jWqF33nmHBAec1sUZ7VCOyCFweucK8vPz2bVrV7TDqRVMUuiELwkAaJ1/7eZ2Ha+9NhtSswJaM6GpXDmDwJFgNZGMaYDb7eb9995lWAcnbZJj++Pp9K5OVOGDDz6Idii1gkkKS4EJ9baNw0Yf1SooKODrr7+iquOgZs1LaIwmpeJq34f589+ltLQ0bNcxpiVaunQpxQdKYrqVUCMnzcvAbDfvzn8nZgaPBPPJ9WQxCwsAABqKSURBVGvgXhH5GMgQkXfxDU39bVgia4HmzJmDOBJx5QwI+7WqOw2mutrJ/Pnzw34tY1qSd999l8xkOL5DbHYw13dqlyq2FW5n3bp10Q4FCG5I6lpgEPAkcAfwHHCsqm4IU2wtysGDB3n3vfdwtu8DiSkBHZOydREJFUUkVBSRtnYeKVsXBXw9b0ZHvJmdmP3663g8Nn/QGICysjIWLviUk3KqmlzSItJOzKkmyeFLZrEgmNFHj6tqhaq+oqoPqupLqlomIlb7CN9kNVd1Na7OQwI+xlGxH/G4EI+LxNJdOCr2B3VNZ+ch7Nq5k0WLAk8mxsSz//73vzirXXy3a9MK30VDRpJyQo6T9997F6cz+re8gsmlVx1he/1+hlbH6XTyyquv4mnTDW96+4hd192uF6Rk8uKLs2LmfqQx0aKqvPXmG/TI9NI7q2W1nkd3raKsvCIm1mRvNCmIyNUicjWQWPO8zuNeYF8gFxKRc0RknYgUiMhtDbx/lYjsFZHl/se1wf840TF//nwOFBfj7HpcZC8sDqo6H8OqVTaZzZjly5dTsHETZ3SPvRnMjRnSzk33TC+vvvJy1L/gBdJSmOB/JNd5PgH4Kb4ZzT9r7AQikoCvL+JcYAgwXkQaus/ysqoO8z+mBPYjRFdlZSXPTZuGN6tzWCarNcaVMwBSMnh68uSo/zEZE00vvjiTrGQ4tQWMOqpPxDfDuWDjJhYvju6AzkaTgqqOUdUxwD9qnvsf31fV8aoayA3tk4ACVd2kqtXAS8BFzYw9Jrz88sscKC6msvvI8ExWa4wjkaquw1i7Zg0ff/xx5K9vTAxYvnw5S5bkc35eOckJ0Y6maU7r4iQnTZnyzDNR/YIXzOijO0Skg4hMEJFbAUSkm4jkBnB4d2BbndeF/m31/VhEvhKR10SkR0MnEpHrRSRfRPL37t0baPhhsW3bNmbMmImrXW+8WZ2jFoerY380owOPPf4EZWVlUYvDmGjweDw89a8naZcKP+jecjqY60t0wMW9ythQUMB7770XtTiCGX00GlgHXAHc6d/cH3gqkMMb2FY/Fb4F9FLV44APgOkNnUhVJ6vqSFUdmZOTE1Ds4eDxeLj/gQfw4MCZNypqcQAgDiryvkPx/iKeeiqQ/xzGxI833niDdes3ML5vaYttJdT4Tpdq+rX18NSTkzh48GBUYghm9NGjwE9U9RygptbrF/huDTWmEKj7zT8X2FF3B1UtUtWam4HPACcEEVvEvfDCC6z8+msqepyEJge/XmuoeTNzcHY5jrfffjsmRjAYEwnbt2/nmclPc2x7F6M6VUc7nGZzCFw1sJSDpaU8/vjj0YkhiH17qep//c9rvuVXA4EsVroE6C8ivUUkGV95jMNWlxCRur20FwIxu+7kZ599xvTp03F16Iu7Y/9oh1OruvsIvJmd+Mf997Np06Zoh2NMWLndbu6796+Ix8nPB5WFtUuv0i2kpqZyySWXkJqaSqU7fBfLy/Tww14VfPDBB/z3v/9t/IAQCyYprBaRs+ttOwP4urEDVdUNTATexfdh/4qqrhKRe0SkZpGeX4vIKhFZga+kxlVBxBYxGzZs4O6778Gb3oGqnt+JdjiHczio6DsGp9fBrf/3B4qKiqIdkTFh89xzz7F6zVquGlBKx1RvWK9V4RbOP/98Jk6cyHnnnUdFGJMCwAU9K+nf1sND/3yQwsLCsF6rvmCSwu+AmSIyHUgTkaeBafiW6WyUf+W2AaraV1Xv82+7U1Xf9D//o6oOVdXj/aOb1gb3o4Tfxo0bueV3v8NJIuX9zoCEpGiH9C2anEFZ3x+wv/gAv7n5ZksMJi4tWrSImTNnMrprFSd3Dv9to/REZe7cuTzxxBO8/fbbpCeGd3RQggN+OeQg4q7irr/cGdGZzsGMPlqEb+2EVcCzwGbgJFVdEqbYYsqGDRu4+ebfUur0UDbg7JjoRzgSb0ZHyvudwfYdO/nNzTcT7VFaxoTS7t27ue/ev9Izy8uEAeURuWZaolJVVcXs2bOpqqoiLcxJAaBjmpcbBh+kYOMmnnjiibBfr0ZQJaNUdTvwIHAXcL+qRrZdEyVffPEFE2+6idJqL2UDzkVT20Y7pEZ52nSlvP9ZbN+xixtu+CUbN26MdkjGNJvL5eLuu/6Cu6qciUNLWvxoo8Yc39HF+T0rmTt3bsTWXAhmSGq2iLwAVAK7gEoReUFEIlfsJ8JUlTfeeIM//vGPVCVkUDboPDS1TbTDCpgnqwtlg8ZSVFbJjRMnWuE80+K98MILrF6zlmsGldI5Pbz9CLHix70rGJjt5qF/PhiRFdqCaSk8B6QBw4Es/78p+G4lxR2n08n999/PI488QnVWd8oGjkWTM6IdVtC86R0oG3Q+lY50bvvjH3n++efxelvH/0wmvmzYsIGZM2dwapcqToqD4aeBSnDA9YNL8bqd/PPBB8I+2zmYpDAGmKCqa/wltNfgGyH0vXAEFk27d+9m4k03MX/+fJzdhlHZP0ydyp7qw4a54QnPH7omZ1A28Dxc7fvw7LPPcscdd9jMZ9PiTHriCTITvVzRvyLaoURcTpqXn/QpI3/pMhYuXBjWawWTFNYBvepty/Nvjxv5+flcc+21FGz6hop+Z1DdfUTYahqJu/qwYW7iDuO3n4REqnp/l6q8k/ns80Vcd/0vbC6DaTFWrVrFiq++4ry8cjKTWmfhxzHdfLWRXpw5I6ythaNOPPOXzK7xX+A9f7/CNnwzlH8KvBC26CJszpw5PPbYY3jTsikffFbYO5Q1MZm5c+eiqrz99ttoYphHNIng6jwEb3p7dm36iF/+8lfcffddnHzyyeG9rjHNNG/ePNKShO+1oMVzQi3B4aukOmPNWrZu3UrPnj3Dcp3GWgp1S2WfAhT4/73M/+9G/78tmqoyefJkHn30UVxtcykbdH5kRhglJB82zI2E5PBfE18HdOngC6lKzOD2229n3rx5EbmuMU1VsGE9vTOrSQ2kfkIcG9TOt+50QUFB2K5x1F+xv2R23Js2bRovvvgi1TkDcfY8BaSFLO7aDJqcTtnAsaRv/JAHHniA1NRUvv/970c7LGMatHvXLo7PaFmrqYVDjn/m9s6dO8N2jSZ9+omPo+YR6qAiqbaOUcf+OHt+p1UkhFoJSVT0OwNvVmf+8Q+rl2RiV/fcXHZVtvJmArCrwvf5lJsbyIoFTRPMPIXuIvIfESnCVyXVVefRYj0x6Uk0vT1VPU+JziI50eZIoKLPGFw4mDp1arSjMaZBgwYPYdPBRPZVtaIvbQ3I3+u7xTxw4MCwXSOY3/C/8VVF/QFQBozAV+n0hjDEFRE7duxg547tODsOAEfr/Raiyek42/Ykf+lSXK4WneNNnLr00ktxJCYxa0PLmysUKrsqHLyzLZ0zzzyTrl3Dt/RvMEnhO8DVqrocUFVdAVyDr1Bei7R//34ANDE1ypFEnyalUu10UlHR+saAm9jXpUsXJlz5M5bsTebNb9KiHU7EHXAKj36dTXJKGjfcEN7v4cEkBQ+HFtc5ICI5QDkNL6vZIgwePJjsdu1J2rcBWvOi9143Kfs3cdxxx9G2bezXdTKt0/jx4znzzDN5bVM6czanRfR/2bxMN2kJXtISvAzKdpGX6W78oBA54BT+sbwdRe4U7vvb3+jQoUNYrxdMUvgCGOt//i7wMvA6kB/qoCIlISGBn1x2KYkHt5OyZWHrTAweF+kbPgBnKZdddlm0ozHmiBISErjttts4++yzeX1zOk+uyqTcFZl+wJ8OqKBnloeeWR5uH3GQnw6ITIt61f5E7sxvz353Cg888CDDhw8P+zWDuZE+gUNJ5Gbg90AmvmU6W6xx48ZRXl7OjBkzEFcVzp7fiVhZbG96e7TCt96BJ70D3vTI1hZ0VBaT9s0CEsr3cdttt3HqqadG9PrGBCshIYE//OEP5OXlMXXqVDaXJnPDkIP0bxu5b+6R4PbCfzanMXdLOj165PLPv9xFv379InLtgJOCqh6o87wS+GtYIoowEeHaa6+lTZs2TJ78DMkrZ1PZbTiuTkPAEd6RDs68k3FU+Po1KgeNbWTvEPK4SNnxJcm7V5ORns7/3XUXo0ePjtz1jWkGh8PBFVdcwbBhw/jrPXdz71JhTPcqLu1TQUYclMBYXZzI8+vbsKNcOO+885g4cSJpaZHrR2mszMWfalZJE5F7jrSfqt4Z6sAi7bLLLuPUU0/lscceY/HixaTuW0dl52Nxd+gLjjgp2u6pJmnPOlL3rILqCsaOHcv1119PdnZ2tCMzJmhDhw5l6rPP8eyzz/Kf118nf18qP+lTxqldnDha4OjyA07hpYIMPtudQtfOnfj7Hb/llFMiXzCisZZC3RkSPcIZSCzo3r07999/PwsXLmTqs8+yedMC2Lmcqk5DceUMiMnlNwMhrkqSdq8mde9a1O1k+PARXHvtNQwdOjTaoRnTLBkZGdx0002cc845PPLIwzyzeg0fbE9jXN8yBrdrGbeUnB6YtzWNedvS8ZLAlVdewRVXXEFKSkpU4pFAq+2JyBDgdKA9sB9YoKqrwhhbo0aOHKn5+eHp51ZVFi9ezIyZM/n6q6+QxBScHfpR3WlQSOsipa311R0Kx+0jR9lekvesIbl4M6peTj/tNK644goGDRoU8msZE21er5cPPviAZyY/zd59RQzvWM1lfSvoHqLyGH9b5ltg6/YRB0NyPq/CpztTmP1NJgeqYPTo73LdddeHdbZyDRFZqqojG3qv0T4FERFgKnAlsB3YgW8Yajd/xdSrNdyrPkSBiDBq1ChGjRrFqlWrmD17Nh99/DHJu1fhbtOd6s6D8bTNjb2yGF43ifs3k7J3LY6yvaSkpnLuhRdw8cUXh62qojGxwOFwcNZZZzF69Ghmz57NjBee50+LkxndtYqLe1eQnRIbH1OqsKIoiZc3ZbK9zMGQwYO498aJHHPMMdEODQiso/l6fAvpnKKqS2o2isiJwCzgF/hmO8etoUOHMnToUG4sKmLu3LnMeeNNijd8AKlZODsOwNVxAJoU3Qk1UnWQ5L3rSCnagLqqyO3Rgx9d/WvOPvtsMjJa7yxQ0/qkpKRw+eWXM3bsWF544QXmzPkPn+1O5ZweFYzNqyQtisULNh1M4KWCTNYeSKR7t67c9ftfMHr0aCSGSuw0evtIRBYA/1DVuQ28dz7wR1WNyljGcN4+Ohq3282CBQuYM2cOy5cvB0cCruxeVHcegjczJ6hzNev2kSoJB7eTvHs1iSWFOBwOTjvtNC666CJGjBgRU39oxkRLYWEhU6ZM4aOPPiI7BS7pXcZpXYPvjG7O7aP9Tgevbkxn4a4Usttk8bOfX80FF1xAYmJ0MtTRbh8FkhT2Az1VtbSB97KAraraLiSRBilaSaGuLVu28MYbb/DOO/OprKzAm9UZZ+djcGf3COjWUpOSgtdNUtEmUvasQiqKyW7XnosuvIDzzz+fnJzgkpIxrcXq1auZ9MTjrF6zlp5ZXq7oV8qgIDqjZ6z3zV8KZuJatb8T+e2t6XgdiVx22U+4/PLLo956b25SKFHVI/asNvZ+OMVCUqhRUVHB22+/zSuvvsrePXsgrQ1VnY/F1bH/UZNDytZFgG/OQqM8LpL3rCZ1z2q0upLeffowftw4xowZQ1JSyxwZZUwkqSoffvgh/37qX+zdV8R3u1Yxrl9FWJb4XLU/kefWt2FPhTB69GhuuOGGsBayC0Zzk0IFcB5wpMbWW6oalbQXS0mhhtvt5tNPP+XFWbPYsH49pGVT2W047na9ml6a2+shae860nZ9hVZXMPLEExk/bpzdIjKmiaqqqpg+fTovv/wymUleftqvlFGdqkNSPb/UJczakM6CXal079aV3/3+VkaMGNH8E4dQc5PCN8BRd1LV3gEEcQ7wGJAATFHVf9R7PwV4HjgBKAJ+oqrfHO2csZgUaqgqCxYsYPLkZ9i2bSvezBwqe54adCmLhJLtpG/9HKoOcsyxx/KL66/n2GOPDVPUxrQuBQUFPPjgA6xbt55Tuzj52YCyZi35ue5AIv9a3ZaDLgfjx1/OhAkTojbf4GialRRCFEACsB44EygElgDjVXV1nX1+BRynqjeIyDjgYlX9ydHOG8tJoYbH4+G9997jqX8/zcHSgzi7Dqe667GN9zd4XKQULiF5z1q65+by65tu4qSTTrKWgTEh5vF4mDFjBtOnTaNTupeJQ0rIywpuboNXYe6WNGZvTqdb16785a67GTBgQJgibr6jJYVIDbI/CShQ1U2qWg28BFxUb5+LgOn+568BP5A4+ARMSEjg3HPP5fnp0/juaaeTsn0pGevmg7v6iMeIs4ysNW+SvHcdl156Kc9OncqoUaMsIRgTBgkJCfzsZz/joYcfxpXcjnu/bMeq/YE3F9xemLw6k9c2pTNmzBgmPzMlphNCYyKVFLoD2+q8LuTb6zDU7qOqbqAE+FbhcBG5XkTyRSR/7969YQo39LKzs7n77ru47bbbSCzfS8b6+Yir6lv7SWUJmevmke5w88jDD3PjjTfGZPPTmHgzfPhwnn5mCl1z83joq7Ys3pPc6DFODzz2dRaf7U7hmmuu4c9/vjPqI4uaK1JJoaGvuPXvWwWyD6o6WVVHqurIljb8UkQ455xzuO++e0mpLiG94H3weg/t4K4ic8N82qQm8vhjj0Wkdrox5pCOHTvy+BOTGDhoCP9alcXqo7QYvApPr87iq/3J3HLLLUyYMCEuWvORSgqFHF5QLxdfuYwG9xGRRKAtvhpLceeUU07h9ttv99Um2rnct1GV1G8+I8FdxT8ffCBitdONMYfLysrigQcfpEePHjyxqi27Khr+mHx9Uxr5e5P51a9u5MILL4xwlOETqaSwBOgvIr1FJBkYB7xZb583gZ/5n18CfBiPNZVqjBkzhjPPPJOUnSsQZxkJpTtJKv6Gq6++ukXfjzQmHmRkZPD3f9xPQmom/17dBm+9T6K1xYm8uSWd8847j0suuSQ6QYZJRJKCv49gIr5lPNcAr6jqKhG5R0RqUuxUoIOIFAC3ALdFIrZouuaaaxAgac9aknevJqtN27j7AzOmperWrRs3/fo3bDqYwEc7DvXrub0wfUMWnTvlcNNNN8XFLaO6IlZ4Q1XnAfPqbbuzzvMq4NJIxRMLunTpwsknn8LnS5aCp5rzx42zTmVjYsgZZ5zB3Lfe4vV1X3F6VydJDvhsVwrbyxzce9tvSE1NjXaIIRdjdZ9bnxNPHAluJ6gycmSDw4aNMVEiIvx0wgQOOmHJnmRU4YMd6fTqmRe3a5pbUoiyU045hS5du9K3Xz9bCc2YGHTCCSfQvVtXPt2VSmF5At8cdHDRDy+Ou9tGNaJYWdwAdO3alZdmzYp2GMaYI3A4HJx62um8/tor5O/1zV2I11YCWEvBGGMadcIJJ+D2wttb0sjrkUunTp2iHVLYWFIwxphG9O/fH4BqrzBgYHyvcW5JwRhjGtG+fXu6dPa1DgYNiu+kYH0KxhgTgMnPTKG4uJgePXo0vnMLZknBGGMC0KZNG9q0aRPtMMLObh8ZY4ypZUnBGGNMLUsKxhhjallSMMYYU8uSgjHGmFqWFIwxxtSypGCMMaaWtOTFzURkL7Al2nHEkY7AvmgHYUwD7G8ztHqqaoOL3LfopGBCS0TyVdUWdTAxx/42I8duHxljjKllScEYY0wtSwqmrsnRDsCYI7C/zQixPgVjjDG1rKVgjDGmliUFY4wxtSwpGETkHBFZJyIFInJbtOMxpoaIPCsie0RkZbRjaS0sKbRyIpIAPAmcCwwBxovIkOhGZUytacA50Q6iNbGkYE4CClR1k6pWAy8BF0U5JmMAUNVPgP3RjqM1saRgugPb6rwu9G8zxrRClhSMNLDNxikb00pZUjCFQI86r3OBHVGKxRgTZZYUzBKgv4j0FpFkYBzwZpRjMsZEiSWFVk5V3cBE4F1gDfCKqq6KblTG+IjILOBzYKCIFIrINdGOKd5ZmQtjjDG1rKVgjDGmliUFY4wxtSwpGGOMqWVJwRhjTC1LCsYYY2pZUjCmHhH5t4j8OcB9PxKRa8MdkzGRYknBtDoi8o2IVIpIqYgcEJHPROQGEXEAqOoNqvrXCMRhCcXEHEsKprW6QFWzgJ7AP4A/AFOjG5Ix0WdJwbRqqlqiqm8CPwF+JiLHiMg0EbkXQETaichcEdkrIsX+57n1TtNXRBaLSImIvCEi7WveEJGT/S2RAyKyQkS+599+H3A6MElEykRkkn/7IBF5X0T2+xc+uqzOucaKyGp/C2e7iPw+vL8d0xpZUjAGUNXF+IoDnl7vLQfwHL4WRR5QCUyqt8+VwNVAN8ANPA4gIt2Bt4F7gfbA74HZIpKjqn8CPgUmqmqmqk4UkQzgfeBFoBMwHviXiAz1X2cq8At/C+cY4MMQ/fjG1LKkYMwhO/B9eNdS1SJVna2qFapaCtwHjK533AuqulJVy4E/A5f5V7T7KTBPVeepqldV3wfygbFHuP75wDeq+pyqulV1GTAbuMT/vgsYIiJtVLXY/74xIWVJwZhDulNvlS8RSReRp0Vki4gcBD4Bsv0f+jXqLlK0BUgCOuJrXVzqv3V0QEQOAKcBXY9w/Z7AqHr7XwF08b//Y3wJZYuIfCwipzTvxzXm2xKjHYAxsUBETsSXFBYAo+q89TtgIDBKVXeJyDDgSw5fnKjuehR5+L7R78OXLF5Q1euOcNn61Si3AR+r6pkN7qy6BLhIRJLwVbZ9pd61jWk2aymYVk1E2ojI+fjWpp6hql/X2yULXz/CAX8H8l8aOM1PRWSIiKQD9wCvqaoHmAFcICJni0iCiKSKyPfqdFTvBvrUOc9cYICITBCRJP/jRBEZLCLJInKFiLRVVRdwEPCE7BdhjJ8lBdNavSUipfi+nf8JeBj4eQP7PQqk4fvmvwiY38A+LwDTgF1AKvBrAFXdBlwE3A7s9V/rVg79f/cYcIl/VNPj/j6Ls/AtdLTDf777gRT//hOAb/y3sW7A12dhTEjZegrGGGNqWUvBGGNMLUsKxhhjallSMMYYU8uSgjHGmFqWFIwxxtSypGCMMaaWJQVjjDG1LCkYY4yp9f9ZibWtJv/lawAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='Target',y='Diabetes_pedigree_function',data=train,hue='Target')\n",
    "plt.xlabel('Diabetes',fontsize=12)\n",
    "plt.ylabel('Diabetes_pedigree_function',fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x18475108>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "DF = train.groupby(['Diabetes_pedigree_function','Target'])['Diabetes_pedigree_function'].count().unstack('Target').fillna(0)\n",
    "DF[[0,1]].plot(kind='bar',stacked=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of occurrences')"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Age \n",
    "fig = plt.figure()\n",
    "sns.distplot(train.Age,kde = True)\n",
    "plt.xlabel('Age')\n",
    "plt.ylabel('Number of occurrences')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='Target',y='Age',data=train,hue='Target')\n",
    "plt.xlabel('Diabetes',fontsize=12)\n",
    "plt.ylabel('Age',fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1929efc8>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "AGEDF = train.groupby(['Age','Target'])['Age'].count().unstack('Target').fillna(0)\n",
    "AGEDF[[0,1]].plot(kind='bar',stacked=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a0966c8>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_corr = train.corr().abs()\n",
    "plt.subplots(figsize=(13,9))\n",
    "sns.heatmap(data_corr,annot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for feature in train.columns:\n",
    "    sns.distplot(train[feature],kde= True)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 数据探索"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pregnants</th>\n",
       "      <th>Plasma_glucose_concentration</th>\n",
       "      <th>blood_pressure</th>\n",
       "      <th>Triceps_skin_fold_thickness</th>\n",
       "      <th>serum_insulin</th>\n",
       "      <th>BMI</th>\n",
       "      <th>Diabetes_pedigree_function</th>\n",
       "      <th>Age</th>\n",
       "      <th>Target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.845052</td>\n",
       "      <td>120.894531</td>\n",
       "      <td>69.105469</td>\n",
       "      <td>20.536458</td>\n",
       "      <td>79.799479</td>\n",
       "      <td>31.992578</td>\n",
       "      <td>0.471876</td>\n",
       "      <td>33.240885</td>\n",
       "      <td>0.348958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.369578</td>\n",
       "      <td>31.972618</td>\n",
       "      <td>19.355807</td>\n",
       "      <td>15.952218</td>\n",
       "      <td>115.244002</td>\n",
       "      <td>7.884160</td>\n",
       "      <td>0.331329</td>\n",
       "      <td>11.760232</td>\n",
       "      <td>0.476951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.078000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>27.300000</td>\n",
       "      <td>0.243750</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>117.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>30.500000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>0.372500</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.000000</td>\n",
       "      <td>140.250000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>127.250000</td>\n",
       "      <td>36.600000</td>\n",
       "      <td>0.626250</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>17.000000</td>\n",
       "      <td>199.000000</td>\n",
       "      <td>122.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>846.000000</td>\n",
       "      <td>67.100000</td>\n",
       "      <td>2.420000</td>\n",
       "      <td>81.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        pregnants  Plasma_glucose_concentration  ...         Age      Target\n",
       "count  768.000000                    768.000000  ...  768.000000  768.000000\n",
       "mean     3.845052                    120.894531  ...   33.240885    0.348958\n",
       "std      3.369578                     31.972618  ...   11.760232    0.476951\n",
       "min      0.000000                      0.000000  ...   21.000000    0.000000\n",
       "25%      1.000000                     99.000000  ...   24.000000    0.000000\n",
       "50%      3.000000                    117.000000  ...   29.000000    0.000000\n",
       "75%      6.000000                    140.250000  ...   41.000000    1.000000\n",
       "max     17.000000                    199.000000  ...   81.000000    1.000000\n",
       "\n",
       "[8 rows x 9 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pregnants                         0\n",
      "Plasma_glucose_concentration      5\n",
      "blood_pressure                   35\n",
      "Triceps_skin_fold_thickness     227\n",
      "serum_insulin                   374\n",
      "BMI                              11\n",
      "Diabetes_pedigree_function        0\n",
      "Age                               0\n",
      "Target                            0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "NaN_col_names = ['Plasma_glucose_concentration','blood_pressure','Triceps_skin_fold_thickness','serum_insulin','BMI']\n",
    "train[NaN_col_names] = train[NaN_col_names].replace(0,np.NaN)\n",
    "print(train.isnull().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pregnants                       0\n",
      "Plasma_glucose_concentration    0\n",
      "blood_pressure                  0\n",
      "Triceps_skin_fold_thickness     0\n",
      "serum_insulin                   0\n",
      "BMI                             0\n",
      "Diabetes_pedigree_function      0\n",
      "Age                             0\n",
      "Target                          0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "medians = train.median()\n",
    "train = train.fillna(medians)\n",
    "print(train.isnull().sum())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 数据标准化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "y_train = train['Target']\n",
    "X_train = train.drop([\"Target\"],axis=1)\n",
    "feature_names = X_train.columns;\n",
    "\n",
    "#数据标准化\n",
    "ss_X = StandardScaler()\n",
    "X_train = ss_X.fit_transform(X_train)\n",
    "\n",
    "#保存为文件\n",
    "X_train = pd.DataFrame(columns=feature_names,data=X_train)\n",
    "train = pd.concat([X_train,y_train],axis=1)\n",
    "train.to_csv('FE_pima-indians-diabetes.csv',index=False)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 利用Logistic回归技术实现糖尿病发病预测"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pregnants</th>\n",
       "      <th>Plasma_glucose_concentration</th>\n",
       "      <th>blood_pressure</th>\n",
       "      <th>Triceps_skin_fold_thickness</th>\n",
       "      <th>serum_insulin</th>\n",
       "      <th>BMI</th>\n",
       "      <th>Diabetes_pedigree_function</th>\n",
       "      <th>Age</th>\n",
       "      <th>Target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.639947</td>\n",
       "      <td>0.866045</td>\n",
       "      <td>-0.031990</td>\n",
       "      <td>0.670643</td>\n",
       "      <td>-0.181541</td>\n",
       "      <td>0.166619</td>\n",
       "      <td>0.468492</td>\n",
       "      <td>1.425995</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.844885</td>\n",
       "      <td>-1.205066</td>\n",
       "      <td>-0.528319</td>\n",
       "      <td>-0.012301</td>\n",
       "      <td>-0.181541</td>\n",
       "      <td>-0.852200</td>\n",
       "      <td>-0.365061</td>\n",
       "      <td>-0.190672</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.233880</td>\n",
       "      <td>2.016662</td>\n",
       "      <td>-0.693761</td>\n",
       "      <td>-0.012301</td>\n",
       "      <td>-0.181541</td>\n",
       "      <td>-1.332500</td>\n",
       "      <td>0.604397</td>\n",
       "      <td>-0.105584</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-0.844885</td>\n",
       "      <td>-1.073567</td>\n",
       "      <td>-0.528319</td>\n",
       "      <td>-0.695245</td>\n",
       "      <td>-0.540642</td>\n",
       "      <td>-0.633881</td>\n",
       "      <td>-0.920763</td>\n",
       "      <td>-1.041549</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-1.141852</td>\n",
       "      <td>0.504422</td>\n",
       "      <td>-2.679076</td>\n",
       "      <td>0.670643</td>\n",
       "      <td>0.316566</td>\n",
       "      <td>1.549303</td>\n",
       "      <td>5.484909</td>\n",
       "      <td>-0.020496</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   pregnants  Plasma_glucose_concentration  ...       Age  Target\n",
       "0   0.639947                      0.866045  ...  1.425995       1\n",
       "1  -0.844885                     -1.205066  ... -0.190672       0\n",
       "2   1.233880                      2.016662  ... -0.105584       1\n",
       "3  -0.844885                     -1.073567  ... -1.041549       0\n",
       "4  -1.141852                      0.504422  ... -0.020496       1\n",
       "\n",
       "[5 rows x 9 columns]"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#读入数据\n",
    "train = pd.read_csv('FE_pima-indians-diabetes.csv')\n",
    "train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(768, 9)"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "#准备数据\n",
    "y_train = train['Target']\n",
    "X_train = train.drop(['Target'],axis=1)\n",
    "feature_names = X_train.columns\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  (0, 0)\t0.6399472601593605\n",
      "  (0, 1)\t0.866044750345085\n",
      "  (0, 2)\t-0.031989933625034314\n",
      "  (0, 3)\t0.6706425316724779\n",
      "  (0, 4)\t-0.18154124285541345\n",
      "  (0, 5)\t0.1666193805166252\n",
      "  (0, 6)\t0.4684919773786533\n",
      "  (0, 7)\t1.4259954044228444\n",
      "  (1, 0)\t-0.8448850534430227\n",
      "  (1, 1)\t-1.2050658269926269\n",
      "  (1, 2)\t-0.5283186007770815\n",
      "  (1, 3)\t-0.012301288426257615\n",
      "  (1, 4)\t-0.18154124285541345\n",
      "  (1, 5)\t-0.8521997614958586\n",
      "  (1, 6)\t-0.3650607775715996\n",
      "  (1, 7)\t-0.19067190513648632\n",
      "  (2, 0)\t1.2338801856003137\n",
      "  (2, 1)\t2.016661737754925\n",
      "  (2, 2)\t-0.6937614898277639\n",
      "  (2, 3)\t-0.012301288426257615\n",
      "  (2, 4)\t-0.18154124285541345\n",
      "  (2, 5)\t-1.3325002141588869\n",
      "  (2, 6)\t0.604397317859673\n",
      "  (2, 7)\t-0.1055841520017847\n",
      "  (3, 0)\t-0.8448850534430227\n",
      "  :\t:\n",
      "  (764, 7)\t-0.5310229176752929\n",
      "  (765, 0)\t0.3429807974388838\n",
      "  (765, 1)\t-0.021574068513934508\n",
      "  (765, 2)\t-0.031989933625034314\n",
      "  (765, 3)\t-0.6952451085249932\n",
      "  (765, 4)\t-0.3321317852838321\n",
      "  (765, 5)\t-0.9104179981822866\n",
      "  (765, 6)\t-0.6851933573713345\n",
      "  (765, 7)\t-0.2757596582711879\n",
      "  (766, 0)\t-0.8448850534430227\n",
      "  (766, 1)\t0.14279978683032835\n",
      "  (766, 2)\t-1.0246472679291287\n",
      "  (766, 3)\t-0.012301288426257615\n",
      "  (766, 4)\t-0.18154124285541345\n",
      "  (766, 5)\t-0.3427901904896168\n",
      "  (766, 6)\t-0.3711010149263117\n",
      "  (766, 7)\t1.1707321450187396\n",
      "  (767, 0)\t-0.8448850534430227\n",
      "  (767, 1)\t-0.9420676584418064\n",
      "  (767, 2)\t-0.19743282267571668\n",
      "  (767, 3)\t0.21534665160665425\n",
      "  (767, 4)\t-0.18154124285541345\n",
      "  (767, 5)\t-0.2991265129747965\n",
      "  (767, 6)\t-0.4737850499564152\n",
      "  (767, 7)\t-0.8713739302140994\n"
     ]
    }
   ],
   "source": [
    "from scipy.sparse import csr_matrix\n",
    "X_train = csr_matrix(X_train)\n",
    "print(X_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "#导入LogisticRegression模型\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "lr = LogisticRegression()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "logloss of each fold is :  [0.48805562 0.53007069 0.45629158 0.42247552 0.48388972]\n",
      "cv logloss is :  0.47615662604739956\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import cross_val_score\n",
    "loss = cross_val_score(lr,X_train,y_train,cv=5,scoring='neg_log_loss')\n",
    "print ('logloss of each fold is : ', -loss)\n",
    "print ('cv logloss is : ',-loss.mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'penalty': ['l1', 'l2'], 'C': [0.1, 1, 10, 100, 1000]}\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv=5, error_score=nan,\n",
       "             estimator=LogisticRegression(C=1.0, class_weight=None, dual=False,\n",
       "                                          fit_intercept=True,\n",
       "                                          intercept_scaling=1, l1_ratio=None,\n",
       "                                          max_iter=100, multi_class='auto',\n",
       "                                          n_jobs=None, penalty='l2',\n",
       "                                          random_state=None, solver='liblinear',\n",
       "                                          tol=0.0001, verbose=0,\n",
       "                                          warm_start=False),\n",
       "             iid='deprecated', n_jobs=4,\n",
       "             param_grid={'C': [0.1, 1, 10, 100, 1000], 'penalty': ['l1', 'l2']},\n",
       "             pre_dispatch='2*n_jobs', refit=True, return_train_score=False,\n",
       "             scoring='neg_log_loss', verbose=0)"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Logistic Regression + GridSearchCV\n",
    "import pandas as pd \n",
    "import numpy as np\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "\n",
    "#调优参数\n",
    "penaltys = ['l1','l2']\n",
    "Cs = [0.1,1,10,100,1000]\n",
    "tuned_parameters = dict(penalty = penaltys,C=Cs)\n",
    "print(tuned_parameters)\n",
    "lr_penalty= LogisticRegression(solver='liblinear')\n",
    "grid= GridSearchCV(lr_penalty, tuned_parameters,cv=5, scoring='neg_log_loss',n_jobs = 4,)\n",
    "grid.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "最小log损失： 0.4759684694019161\n",
      "最佳超参数： {'C': 1, 'penalty': 'l1'}\n"
     ]
    }
   ],
   "source": [
    "print('最小log损失：',-grid.best_score_)\n",
    "print('最佳超参数：', grid.best_params_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv=5, error_score=nan,\n",
       "             estimator=LogisticRegression(C=1.0, class_weight=None, dual=False,\n",
       "                                          fit_intercept=True,\n",
       "                                          intercept_scaling=1, l1_ratio=None,\n",
       "                                          max_iter=100, multi_class='auto',\n",
       "                                          n_jobs=None, penalty='l2',\n",
       "                                          random_state=None, solver='liblinear',\n",
       "                                          tol=0.0001, verbose=0,\n",
       "                                          warm_start=False),\n",
       "             iid='deprecated', n_jobs=4,\n",
       "             param_grid={'C': [0.1, 1, 10, 100, 1000], 'penalty': ['l1', 'l2']},\n",
       "             pre_dispatch='2*n_jobs', refit=True, return_train_score=False,\n",
       "             scoring='accuracy', verbose=0)"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#### 5折交叉验证 进行参数调优\n",
    "lr_penalty_accuracy = LogisticRegression(solver='liblinear')\n",
    "grid_accuracy = GridSearchCV(lr_penalty_accuracy,tuned_parameters,cv=5,scoring='accuracy',n_jobs=4,)\n",
    "grid_accuracy.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "最佳准确率： 0.7747644512350395\n",
      "最佳超参数： {'C': 0.1, 'penalty': 'l2'}\n"
     ]
    }
   ],
   "source": [
    "print('最佳准确率：',grid_accuracy.best_score_)\n",
    "print('最佳超参数：', grid_accuracy.best_params_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[-0.47851594 -0.47676173]\n",
      " [-0.47596894 -0.47615971]\n",
      " [-0.47640384 -0.47643827]\n",
      " [-0.47646762 -0.47647175]\n",
      " [-0.47647329 -0.47647516]]\n",
      "[[0.03093005 0.03155493]\n",
      " [0.03560549 0.03572947]\n",
      " [0.03630099 0.03631541]\n",
      " [0.03637469 0.0363767 ]\n",
      " [0.03638252 0.03638286]]\n",
      "[-1.  0.  1.  2.  3.]\n",
      "0\n",
      "1\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot CV误差曲线\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "test_means = grid.cv_results_['mean_test_score']\n",
    "test_stds = grid.cv_results_['std_test_score']\n",
    "\n",
    "\n",
    "n_Cs = len(Cs)\n",
    "n_penaltys = len(penaltys)\n",
    "\n",
    "test_scores = np.array(test_means).reshape(n_Cs,n_penaltys)\n",
    "print(test_scores)\n",
    "test_stds = np.array(test_stds).reshape(n_Cs,n_penaltys)\n",
    "print(test_stds)\n",
    "x_axis = np.log10(Cs)\n",
    "print(x_axis)\n",
    "for i, value in enumerate(penaltys):\n",
    "    print(i)\n",
    "    plt.errorbar(x_axis,-test_scores[:,i],yerr=test_stds[:,i],label = penaltys[i]+' Test')\n",
    "plt.legend()\n",
    "plt.xlabel('log(C)')\n",
    "plt.ylabel('logloss')\n",
    "plt.show()"
   ]
  }
 ],
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